Data Engineer to Analytics and Data Platforms

Company Description
Are you a creative data engineer passionate about solving problems, building new stuff and always have something new to learn? We are looking for data engineers to join our new AI, Analytics and Data domain.
We are on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviors are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech delivers technological solutions for the entire value chain for all our brands.
The best ideas evolve when great minds with different perspectives get together. We’re all on the same team in a global environment and we learn from each other. There are endless opportunities to grow – your development is all up to you!
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. H&M Group – Business Tech.

Job Description
We love design, and we love technology! Our diversity makes us strong and creates an inclusive and welcoming workplace where everyone’s individuality is highly valued. We are looking for Data Engineers who want to work in a modern organization, where agility, automation and cloud are non-negotiables.
Our product area is called Analytics and Data Platforms and our teams are responsible for all data processing, reporting and advanced analytics capabilities across the whole value chain. This means tons of data and unlimited learning opportunities. We welcome applications from varied backgrounds in data and analytics.
About the position
You will work with one of our Analytics team. You and the team leverage modern software engineering principles and techniques to build robust data solutions for a varied spectrum of analysts. You appreciate working in autonomous teams, have a hands-on attitude and believe that no challenge is too big if we have the right support and tools in place.
We appreciate a multitude of technical backgrounds, but we believe you will enjoy working here if you’re passionate about data and have worked hands-on with data warehousing and analytics in the past, preferably with modern open-source data processing frameworks and/or Cloud-based data integration services such as Azure Data Factory. We appreciate your solid foundations in database principles and/or software engineering, as these go hand-in-hand when building robust BI and advanced analytics solutions.
We believe that you are a true team player, solution-driven and open-minded, with a passion for continuous improvement and automation. You are collaborative and you have the ability to build relations with different types of people and roles.
We are looking for you who
are triggered by developing and designing the next generation data- and analytics-solution with focus on enabling smart self-service capabilities
have a DevOps mindset and embrace Engineering Principles, which emphasizes automation, continuous integration, and end-to-end ownership of solutions
want to work in a small, smart, agile team – designing, developing and owning the full solution
are motivated by analyzing and understanding the business needs, translating it to technical solutions, assuring that both business and technical needs are met

Qualifications
We are looking for new colleagues to several of our teams in the Analytics & Data Platforms Product Area. The teams have a varied tech stack, so any combination of below competences is needed and welcome – please just let us know who you are and which tech you master:
Experience of designing, development and testing in the field of Data & Analytics
Experience in Azure cloud tech-stack (Azure Synapse, Azure Databricks, ADF pipelines, Logic Apps)
Experience in PowerShell scripting
Experience in SQL
Experience in object-oriented programming languages (Python)
Experience in Big Data technologies (e.g. Spark)
Experience in Big Data file formats (e.g. Parquet)
Solid understanding of Data Modeling. Experience in modeling and developing tabular cubes, SSAS. Experience also in composite models is a plus.
Experiences in working with Power BI
Experience in GCP is a plus
Experience in agile methodologies
Experience from successful delivery of high-quality outcomes
Fluent in English both written and verbal
Passion for people and technology

Additional Information
Sounds interesting? Great! Please apply with your CV. With the Christmas holidays coming up, please expect a delay in response until the first week of January 2022. Due to GDPR, we don't accept applications through email.
Do you think we are a match? We hope so!
This position is placed in Stockholm, Sweden.